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Appendix Predicted Increase (%) 30 25 20 15 10 5 y = 1,008x R 2 = 0,8486 0 0 5 10 15 20 25 30 Measured Increase (%) Figure 10: Measured vs. predicted average percentage increase in soil density 11.1.3 Prediction of Independent Data It was an important step to be able to show that COMPSOIL is self consistent with a soil specific VCL which is able to reproduce the input data used to derive the specific VCL. For a justification of the approach the modified model will be compared with four other data sets from the same soil but not utilized for the development of the in-situ model. To do this: 1. Data generated by Antille (2006) using the single wheel tester designed by Ansorge (2005) with the same tyres at identical loads and inflation pressures with more dense (1.6 g/cm 3 ) and less dense (1.2 g/cm 3 ) soil conditions. This aimed at justifying the appropriateness of this VCL more generally for different initial dry bulk densities. 2. Data generated by a pass of the 900/10.5/1.9 tyre on stratified soil conditions mimicking real field conditions and investigating the ability of the model to deal with different bearing capacities within the same profile. This data is originally from Ansorge and Godwin (2007). 3. Data generated by two multi passes on the uniform medium soil condition. The tyre used was the 900 mm section width tyre, once having the 900/10.5/1.9 configuration and passing three times over the soil and then having the 900/5/0.5 configuration. This was targeting the performance of the model with respect to loading-unloading cycles and included the opportunity to adjust the recompression and reloading parameters. 4. Data which was generated by the passage of whole combine harvesters and used to explore the possibility to predict the soil displacement after a pass of whole combine harvesters over medium soil conditions. Ph.D. Thesis Dirk Ansorge (2007) 209
Appendix 11.1.3.1 Dense/Hard and Loose/Weak Soil Following the ability to reproduce the input results as shown above, the prediction is extended onto different bearing capacities of the same soil type. Therefore the results from Antille (2006) were compared to the theoretical predictions. Antille (2006) used the same high axle load tyre configurations as Ansorge (2005) with the same soil type and water content, only at a lower bearing capacity with a DBD of 1.2 g/cm 3 DBD and at a higher bearing capacity with a DBD of 1.6 g/cm 3 . The measured and predicted results are plotted in Figure 11 and show in general a close agreement. On dense soil the 680/10.5/2.2 and the 800/10.5/2.5 are in good agreement with the predictions. On the soft soil overall a closer agreement is achieved. Depth (mm) Depth (mm) Depth(mm) 0,0 100,0 200,0 300,0 400,0 500,0 600,0 700,0 800,0 0,0 100,0 200,0 300,0 400,0 500,0 600,0 700,0 800,0 Displacement (mm) 0 20 40 60 80 100 120 140 160 180 200 Displacement (mm) 0 20 40 60 80 100 120 140 160 180 200 0 20 40 60 80 100 120 140 160 180 200 0,0 100,0 200,0 300,0 400,0 500,0 600,0 700,0 800,0 Dense Dense Dense 900/10.5/1.9 800/10.5/2.5 680/10.5/2.2 Displacement (mm) Figure 11: Measured (■) and predicted (♦) soil displacement for tyres on soft and dense Ph.D. Thesis Dirk Ansorge (2007) Soft Soft Soft soil conditions. LSD at 95 % is also shown The accuracy was evaluated from the calculated average density changes for the predicted and the measured soil displacement shown in Figure 11 and plotted against each other in Figure 12. 210
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Cranfield University School of Appl
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Abstract Ancillary experiments show
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Table of Contents TABLE OF CONTENTS
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Table of Contents 4.1.3 Analysis of
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Table of Contents 11.1.1.1 Comparis
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List of Figures and Tables Figure 3
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List of Figures and Tables Figure 1
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Nomenclature NOMENCLATURE Abbreviat
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Introduction 1 INTRODUCTION 1.1 Bac
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Introduction � Ansorge, D. and Go
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Introduction 1.2 Aim To elucidate t
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Introduction a) the soil compaction
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Experimental Methods 2.1.1.1 Test F
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Experimental Methods had been mount
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Experimental Methods track; the loa
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Experimental Methods 800/10.5/2.5 t
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Experimental Methods term. In the m
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Experimental Methods Soil Surface F
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Experimental Methods Depth (cm) 0 1
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Experimental Methods ence surface c
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Experimental Methods chine derives
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Experimental Methods depth. The dat
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Experimental Methods with water and
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Experimental Methods 2.4 Statistica
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Laboratory Studies Into Undercarria
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Field Study With Full Size Combine
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Alleviation of Soil Compaction Howe
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Alleviation of Soil Compaction not
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Alleviation of Soil Compaction in a
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Alleviation of Soil Compaction diff
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Soil Compaction Models sibilities t
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Soil Compaction Models depends on t
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Soil Compaction Models Wroth (1968)
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Soil Compaction Models however, the
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Soil Compaction Models level. Criti
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Soil Compaction Models Utilizing Ke
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Soil Compaction Models average of m
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Soil Compaction Models Depth (mm) -
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Soil Compaction Models ture content
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Soil Compaction Models with four ot
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Soil Compaction Models Predicted In
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Soil Compaction Models Depth (mm) -
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Soil Compaction Models and 13.7 % b
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Soil Compaction Models Rel. Density
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Soil Compaction Models VCL paramete
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Soil Compaction Models The approach
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Soil Compaction Models surface stay
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Soil Compaction Models This result
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Soil Compaction Models 6.6.1.3 Wate
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Soil Compaction Models σσ 1 (kPA)
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Soil Compaction Models pressure to
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Soil Compaction Models The response
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Soil Compaction Models On medium so
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Soil Compaction Models SOILFLEX tak
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Ancillary Experiments 7 ANCILLARY E
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Ancillary Experiments Average conta
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Ancillary Experiments In order to c
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Ancillary Experiments contrary, the
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Ancillary Experiments Figure 102: S
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Ancillary Experiments track and the
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Ancillary Experiments even when hav
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Ancillary Experiments 7.3.2 Influen
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Ancillary Experiments The results f
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Ancillary Experiments Figure 117: S
Page 175 and 176: Ancillary Experiments Contact Press
Page 177 and 178: Ancillary Experiments Figure 123: F
Page 179 and 180: Ancillary Experiments Sinkage (mm)
Page 181 and 182: Ancillary Experiments model which o
Page 183 and 184: Ancillary Experiments 7.3.5 The Inf
Page 185 and 186: Ancillary Experiments 7.3.7 Discuss
Page 187 and 188: Ancillary Experiments Terzaghi (194
Page 189 and 190: Ancillary Experiments contact area.
Page 191 and 192: Ancillary Experiments soil forward
Page 193 and 194: Conclusions � The longitudinal so
Page 195 and 196: Bibliography 10 BIBLIOGRAPHY Aboaba
Page 197 and 198: Bibliography Defossez, P., Richard,
Page 199 and 200: Bibliography Gregory, A.S.; Whalley
Page 201 and 202: Bibliography Lamande, M., Schjonnin
Page 203 and 204: Bibliography Seig, D., 1985. Soil C
Page 205 and 206: Appendix 11 APPENDIX Ph.D. Thesis D
Page 207 and 208: Appendix Figure 32: VCL sample at t
Page 209 and 210: Appendix comparison at the deepest
Page 211 and 212: Appendix Estimated Pressure (kPa) 2
Page 213 and 214: Appendix 11.1.1.2.1 SOCOMO One of t
Page 215 and 216: Appendix by Seig (1985) who showed
Page 217 and 218: Appendix Soil water content 15 % an
Page 219 and 220: Appendix Adapting critical state so
Page 221 and 222: Appendix density is obtained by add
Page 223 and 224: Appendix Table 5: Values of constan
Page 225: Appendix choice of a concentration
Page 229 and 230: Appendix 11.1.3.2 Stratified Soil C
Page 231 and 232: Appendix To summarize the ability t
Page 233 and 234: Appendix In the following the predi
Page 235 and 236: Appendix concentration factor of 4,
Page 237 and 238: Appendix 11.1.5.1 Confining Pressur
Page 239 and 240: Appendix Figure 24. The VCL created
Page 241 and 242: Appendix Rel. Density 2 1,9 1,8 1,7
Page 243 and 244: Appendix relation of � 1 to � 2
Page 245 and 246: Appendix Rel. Density 2 1,9 1,8 1,7
Page 247 and 248: Appendix Rel. Density 1,7 1,68 1,66
Page 249 and 250: Appendix Depth (mm) 0,0 100,0 200,0
Page 251 and 252: Appendix Figure 42: Plate in cookin
Page 253 and 254: Appendix � z � � �� k c p
Page 255 and 256: Appendix Table 8: n and k depending
Page 257 and 258: Appendix to the plate sinkage equat
Page 259 and 260: Appendix with a slight deviation fr
Page 261: Appendix Table 12: DBD values for a
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